Job Title: Senior Data Scientist – Applied Machine Learning Company Description: Nory - Series B AI-powered restaurant management platform backed by Kinnevik Location: London, UK / Dublin, Ireland / Spain (Remote-first) Job Description: You will design, build, and scale production-grade ML systems that automate margin-critical decisions for thousands of restaurant shifts. Moving beyond notebooks, you'll own the end-to-end lifecycle—from problem framing to deployment and monitoring—creating intelligent forecasting and labor planning tools that replace guesswork with predictive analytics for global hospitality brands like Jamie Oliver Group. Why this role is remarkable:

Impact-driven environment where your ML models directly drive profitability and reduce waste for major global hospitality brands like Azzurri Group and Black Sheep Coffee High-growth trajectory at a Series B startup that has raised $62.6M and tripled revenues, offering meaningful equity and a "work from anywhere" policy for 3 months annually Join an elite, high-ownership data team featuring alumni from Tractable, Babylon Health, and Oxford DPhil programs, where data science is a core business driver rather than a side function

What you will do:

Own the end-to-end ML lifecycle by designing, deploying, and monitoring production-grade services that power real-time demand forecasting and workforce optimization Build robust, observable ML pipelines and monitoring strategies to detect drift and ensure models maintain commercial value and accuracy in live operational environments Partner with Product and Engineering teams to embed statistical models into seamless workflows that restaurant operators rely on daily to manage multi-million pound businesses

The ideal candidate:

Proven track record of taking production ML systems from ambiguous concepts to revenue-impacting deployments, specifically within classical ML, forecasting, or time-series domains Advanced academic background (MSc/PhD) in applied statistics or quantitative reasoning with a "production-first" mindset and proficiency in writing clean, maintainable Python for shared codebases Strong systems thinker comfortable working across APIs, CI/CD, and cloud infrastructure while measuring success through business metrics like automation rates and margin improvement

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